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» Dictionary Optimization for Block-Sparse Representations
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CISS
2008
IEEE
14 years 9 months ago
Measuring interference in overcomplete signal representations
Currently, there is no quantitative way to ascertain how an overcomplete signal representation describes a signal and its features using terms drawn from a dictionary. Though spars...
Bob L. Sturm, John J. Shynk, Laurent Daudet
CORR
2011
Springer
161views Education» more  CORR 2011»
14 years 1 months ago
A Panorama on Multiscale Geometric Representations, Intertwining Spatial, Directional and Frequency Selectivity
The richness of natural images makes the quest for optimal representations in image processing and computer vision challenging. The latter observation has not prevented the design...
Laurent Jacques, Laurent Duval, Caroline Chaux, Ga...
ICASSP
2010
IEEE
14 years 9 months ago
An L1 criterion for dictionary learning by subspace identification
We propose an ℓ1 criterion for dictionary learning for sparse signal representation. Instead of directly searching for the dictionary vectors, our dictionary learning approach i...
Florent Jaillet, Rémi Gribonval, Mark D. Pl...
CVPR
2008
IEEE
14 years 9 months ago
Joint learning and dictionary construction for pattern recognition
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier p...
Duc-Son Pham, Svetha Venkatesh
97
Voted
CVPR
2010
IEEE
15 years 23 days ago
Discriminative K-SVD for Dictionary Learning in Face Recognition
In a sparse-representation-based face recognition scheme, the desired dictionary should have good representational power (i.e., being able to span the subspace of all faces) while...
Qiang Zhang, Baoxin Li